ODSC - Open Data Science

APRIL 14, 2023

As you can imagine, they’re currently hiring for a variety of roles, including software engineers, data scientists, and product managers. The company’s mission is to make it easier for developers and data scientists to build and deploy machine learning models in production.

Data Scientist 52

Data Scientist Software Engineer Machine Learning NLP 52

ODSC - Open Data Science

MARCH 10, 2025

The Early Years: Laying the Foundations (20152017) In the early years, data science conferences predominantly focused on foundational topics like data analytics , visualization , and the rise of big data. Topics like AI safety , explainability , and human-AI collaboration are set to play even largerroles.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

IBM Journey to AI blog

OCTOBER 20, 2023

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. By exploring data from different perspectives with visualizations, you can identify patterns, connections, insights and relationships within that data and quickly understand large amounts of information.

Machine Learning 225

Machine Learning Automation AI AI 225

Attivio

JUNE 8, 2015

Featuring self-service data discovery acceleration capabilities, this new solution solves a major issue for business intelligence professionals: significantly reducing the tremendous amount of time being spent on data before it can be analyzed.

Business Intelligence 40

Business Intelligence Big Data Data Discovery Data Scientist 40

ODSC - Open Data Science

FEBRUARY 24, 2023

Its goal is to help with a quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. Apache Superset GitHub | Website Apache Superset is a must-try project for any ML engineer, data scientist, or data analyst.

Data Analysis 126

Data Analysis Data Science Business Intelligence Python 126

Marktechpost

SEPTEMBER 8, 2023

Microsoft Power BI Microsoft Power BI, a powerful business intelligence platform that lets users filter through data and visualize it for insights, is another top AI tool for data analysis. Users may import data from practically anywhere into the platform and immediately create reports and dashboards.

AI Tools 131

AI Tools Data Science Machine Learning Data Analysis 131

IBM Journey to AI blog

JULY 11, 2023

Data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights.

Big Data 151

Big Data Business Intelligence Data Scientist Machine Learning 151

Pickl AI

MARCH 19, 2025

Data Science focuses on analysing data to find patterns and make predictions. Data engineering, on the other hand, builds the foundation that makes this analysis possible. Without well-structured data, Data Scientists cannot perform their work efficiently.

Big Data 52

Big Data Automation Data Science Python 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time. Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary.

Machine Learning 253

Machine Learning Data Ingestion Automation Data Scientist 253

IBM Journey to AI blog

JULY 17, 2023

Within watsonx.ai, users can take advantage of open-source frameworks like PyTorch, TensorFlow and scikit-learn alongside IBM’s entire machine learning and data science toolkit and its ecosystem tools for code-based and visual data science capabilities. ” Vitaly Tsivin, EVP Business Intelligence at AMC Networks.

Machine Learning 186

Machine Learning Metadata Automation AI 186

IBM Journey to AI blog

MARCH 14, 2024

.   Request a live demo or start a proof of concept with Amazon RDS for Db2 Db2 Warehouse SaaS on AWS The cloud-native Db2 Warehouse fulfills your price and performance objectives for mission-critical operational analytics, business intelligence (BI) and mixed workloads.

ETL 234

ETL Metadata AI AI 234

IBM Journey to AI blog

DECEMBER 16, 2022

It seamlessly integrates with IBM’s data integration, data observability, and data virtualization products as well as with other IBM technologies that analysts and data scientists use to create business intelligence reports, conduct analyses and build AI models.

Metadata 130

Metadata Data Quality Data Discovery Data Scientist 130

AWS Machine Learning Blog

DECEMBER 29, 2022

Many of the RStudio on SageMaker users are also users of Amazon Redshift , a fully managed, petabyte-scale, massively parallel data warehouse for data storage and analytical workloads. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

Machine Learning 127

Machine Learning Natural Language Processing Data Scientist Data Analysis 127

Pickl AI

JANUARY 19, 2025

Conclusion To conclude, we can state that both data warehousing and data mining play crucial roles in modern business intelligence strategies. In contrast, data warehousing emphasizes the systematic collection, storage, and organisation of data, enabling efficient access for analysis and reporting 34.

Data Mining 52

Data Mining Algorithm Data Quality Data Scientist 52

Analytics Vidhya

OCTOBER 31, 2023

Introduction Have you ever wondered what the future holds for data science careers? Data science has become the topmost emerging field in the world of technology. There is an increased demand for skilled data enthusiasts in the field of data science. Yes, you are guessing it right– endless opportunities.

Data Science 326

Data Science Data Scientist ML Engineer ML 326

ODSC - Open Data Science

MAY 10, 2023

Unfortunately, even the data science industry — which should recognize tabular data’s true value — often underestimates its relevance in AI. Many mistakenly equate tabular data with business intelligence rather than AI, leading to a dismissive attitude toward its sophistication. The choice is yours.

Data Scientist 87

Data Scientist Data Science Deep Learning Algorithm 87

IBM Journey to AI blog

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Automation 146

Automation ML Data Scientist Business Intelligence 146

IBM Journey to AI blog

JULY 13, 2023

The more complete, accurate and consistent a dataset is, the more informed business intelligence and business processes become. To measure and maintain high-quality data, organizations use data quality rules, also known as data validation rules, to ensure datasets meet criteria as defined by the organization.

Data Quality 187

Data Quality Data Integration Metadata Automation 187

ODSC - Open Data Science

FEBRUARY 13, 2025

Attendees left with a clear understanding of how AI can enhance data analysis workflows and improve decision-making in business intelligence applications. Lastly, ODSC East 2025 coming up this May 13th-15th in Boston, MA, in addition to virtually, is the best AI conference for AI builders and data scientists there is.

Large Language Models 52

Large Language Models AI AI Automation 52

Marktechpost

JULY 3, 2023

Artificial Intelligence systems can process and analyze vast amounts of data, identify patterns, and generate insights that drive decision-making and automation. Data analysts capture historical trends and patterns, which serve as the foundation for predictive modeling.

Deep Learning 122

Deep Learning Machine Learning Neural Network Artificial Intelligence 122

ODSC - Open Data Science

FEBRUARY 12, 2024

Ensuring model explainability, protecting training data sets from data poisoning attacks, and regularly reviewing these technologies are similarly important. Augmented Analytics Takes Your BI Further Business intelligence alone isn’t enough to remain competitive in today’s accelerated, tech-centric environment.

Data Science 98

Data Science Automation Explainability Data Scientist 98

ODSC - Open Data Science

SEPTEMBER 27, 2023

In contrast, data warehouses and relational databases adhere to the ‘Schema-on-Write’ model, where data must be structured and conform to predefined schemas before being loaded into the database. Storage Optimization: Data warehouses use columnar storage formats and indexing to enhance query performance and data compression.

Big Data 98

Big Data Metadata ETL Data Science 98

IBM Journey to AI blog

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

deepsense.ai

MAY 8, 2023

SQLDay, one of the biggest Microsoft Data Platform conferences in Europe, is set to host an insightful presentation on GPT in data analysis by Maksymilian Operlejn, Data Scientist at deepsense.ai. The presentation entitled “GPT in data analysis – will AI replace us?”

Data Analysis 52

Data Analysis Data Scientist Big Data Data Platform 52

Pickl AI

JUNE 12, 2023

With the help of Tableau, organisations have been able to mine and gather actionable insights from granular sources of data. Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

ODSC - Open Data Science

MAY 27, 2024

Data science is a diverse field, encompassing disciplines of statistics, programming, mathematics, business intelligence, and computer science, among others. No one can know everything, and each role requires slightly different skills, so data scientist positions tend to require more expertise in some disciplines than others.

Data Scientist 52

Data Scientist Data Science Natural Language Processing AI 52

O'Reilly Media

SEPTEMBER 19, 2023

And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). But in its early form of a Hadoop-based ML library, Mahout still required data scientists to write in Java. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work.

Algorithm 134

Algorithm Machine Learning Neural Network Data Scientist 134

AWS Machine Learning Blog

SEPTEMBER 3, 2024

Seamless integration with SageMaker – As a built-in feature of the SageMaker platform, the EMR Serverless integration provides a unified and intuitive experience for data scientists and engineers. By unlocking the potential of your data, this powerful integration drives tangible business results.

Big Data 112

Big Data ML Data Scientist Machine Learning 112

AWS Machine Learning Blog

APRIL 19, 2023

Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. As a result, some enterprises have spent millions of dollars inventing their own proprietary infrastructure for feature management.

ML 93

ML Data Scientist Big Data Machine Learning 93

Pickl AI

DECEMBER 4, 2024

Summary: Data Science appears challenging due to its complexity, encompassing statistics, programming, and domain knowledge. However, aspiring data scientists can overcome obstacles through continuous learning, hands-on practice, and mentorship. However, many aspiring professionals wonder: Is Data Science hard?

Data Science 52

Data Science Data Scientist Software Engineer Continuous Learning 52

Pickl AI

JANUARY 23, 2024

With the Business Analytics market poised to reach new heights, from USD 43.9 billion by 2032 , a Master’s in Business Analytics will equip you for a future. Previously, you learned the difference between Business Intelligence and Business Analytics. billion in 2023 to an estimated USD 84.39 ’ question.

Data Scientist 52

Data Scientist Machine Learning Business Intelligence Big Data 52

Pickl AI

JULY 18, 2023

Data Science helps businesses uncover valuable insights and make informed decisions. Programming for Data Science enables Data Scientists to analyze vast amounts of data and extract meaningful information. 8 Most Used Programming Languages for Data Science 1.

Data Science 52

Data Science Data Scientist Python Business Intelligence 52

Marktechpost

JULY 17, 2023

The company’s H20 Driverless AI streamlines AI development and predictive analytics for professionals and citizen data scientists through open source and customized recipes. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

IBM Journey to AI blog

SEPTEMBER 5, 2024

Regularly reviewing the framework and adjusting it based on feedback, new regulations or changes in business strategy fosters a culture that values data as a strategic asset, supporting effective business intelligence and data use across the organization.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

AWS Machine Learning Blog

NOVEMBER 15, 2023

After a few minutes, a transcript is produced with Amazon Transcribe Call Analytics and saved to another S3 bucket for processing by other business intelligence (BI) tools. PCA’s security features ensure that any PII data was redacted from the transcript, as well as from the audio file itself.

Data Ingestion 117

Data Ingestion Metadata NLP Data Scientist 117

Marktechpost

JUNE 5, 2024

Analytics, management, and business intelligence (BI) procedures, such as data cleansing, transformation, and decision-making, rely on data profiling. Content and quality reviews are becoming more important as data sets grow in size and variety of sources.

Data Quality 110

Data Quality Metadata Data Integration ETL 110

The MLOps Blog

FEBRUARY 15, 2024

Data scientists and NLP specialists can move towards analytical roles or into engineering to stay relevant. In any case, they should hone their essential communication, business, and technical skills. Data scientists may need to transform their roles to flip the narrative.

NLP 59

NLP Natural Language Processing Data Scientist Software Engineer 59